Q21X09 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibibztwscrksbsdp6vbfwzx56p6lfkozq5ifsmlkjnrylormz35pe/metadata.json
IPFS of structure file: 
bafybeietus54pquh3vcakihhcftog4r4uqanwx4h35wxkmpdjxgbs6sin4/AF-Q21X09-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa235Bf84F1f947d3D31F91c9BBe54c9e99aCeD16
First NFT owner address (bech32): 
genesis15g6mlp83l9ra85clj8ymhe2vn6v6emgkdk72nh
Current NFT ID #101566 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101566
Accession (UniProt):
Q21X09
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Rhodoferax ferrireducens (strain ATCC BAA-621 / DSM 15236 / T118)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q21X09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q21X09|DNAK_RHOFT Chaperone protein DnaK OS=Rhodoferax ferrireducens (strain ATCC BAA-621 / DSM 15236 / T118) OX=338969 GN=dnaK PE=3 SV=1 MGRIIGIDLGTTNSCVAIMEGNTPKVIENSEGARTTPSIIAYQEDGEVLVGASAKRQAVTNPKNTLYAVKRLIGRKFTEKEVQKDINLMPYKIAAADNGDAWVEVRGNRMAPQQVSADVLRKMKKTAEDYLGETVTEAVITVPAYFNDAQRQATKDAGRIAGLDVKRIINEPTAAALAYGLDKTEKGDRKIAVFDLGGGTFDVSIIEIADVDGEKQFEVLSTNGDTFLGGEDFDQRIIDFVIAEFKKEQGVDLGKDVLALQRLKEAAEKAKIELSSSAQTDINLPYVTADASGPKHLSIKLTRAKLESLVEELIERTIAPCRTAIKDAGVNVADINDVILVGGMTRMPKVQEKVKELFGREPRKDVNPDEAVAVGAAIQGQVLSGDRKDVLLLDVTPLSLGIETLGGVMTKMITKNTTIPTKFAQTFSTADDNQPAVTIKVFQGEREIAAGNKMLGEFNLEGIPPSARGTPQIEVSFDIDANGILHVGAKDKGTGKENKITIKANSGLTEAEIQQMVKDAELNAADDKRKLDLVQAKNQADASLHSVKKSLTEYGDKLEAGEKEKIEEAIKHLEEAIKGDDKAHIEEKSTALMTISQKLGEKMYADMQAKQAAEAGAGDPGAQAAAGAQNTSNQAADDNVVDAEVKEVKKG